CN114071061B

CN114071061B - Evaluation method and device for evaluation expert behavior in remote evaluation video conference process

Info

Publication number: CN114071061B
Application number: CN202111333904.2A
Authority: CN
Inventors: 赵东明; 马学军; 田森; 王绪繁; 张志祥; 刘宝成; 包立贞; 郭永荣
Original assignee: Beijing Guoxin Innovation Technology Co ltd; Huaneng Tendering Co ltd
Current assignee: Beijing Guoxin Innovation Technology Co ltd; Huaneng Tendering Co ltd
Priority date: 2021-11-11
Filing date: 2021-11-11
Publication date: 2023-06-13
Anticipated expiration: 2041-11-11
Also published as: CN114071061A

Abstract

The application provides a method and a device for evaluating behaviors of bid evaluation experts in a remote bid evaluation video conference process, wherein the method comprises the following steps: acquiring a face video picture of a mark evaluation expert in the process of remotely evaluating a preset project through a video conference mark evaluation tool, and acquiring a screen operation picture of terminal equipment where the video conference mark evaluation tool is positioned; and evaluating the marking process of the preset project by the marking expert according to the face video picture and the screen operation picture. Therefore, the comprehensive integrated monitoring of the face video picture of the bid evaluation expert and the screen operation picture of the terminal equipment where the video conference bid evaluation tool is located is realized, and the evaluation accuracy of the bid evaluation process of the bid evaluation expert is improved.

Description

Evaluation method and device for evaluation expert behavior in remote evaluation video conference process

Technical Field

The application relates to the technical field of bid-bidding evaluation, in particular to a bid-bidding expert behavior evaluation method and device in a remote bid-bidding video conference process.

Background

The bid evaluation is a comprehensive economic responsibility system form for promoting competition in the basic construction field, a plurality of construction units participate in engineering bidding, the bid unit (such as construction unit) is preferentially selected, the construction period of which construction unit is short, the cost is low, the quality is high and the reputation is good, the bid unit can pack engineering tasks to which construction unit, and the bid evaluation in the bid process is particularly important.

At present, a remote bid evaluation mode can be adopted for bid evaluation, however, in the related technology, in the process of remote bid evaluation, generally, the face condition of a bid evaluation expert displayed by a video conference interface through an item manager evaluates the bid evaluation process of the bid evaluation expert, and the mode cannot accurately evaluate the bid evaluation process of the bid evaluation expert.

Disclosure of Invention

The invention provides a method and a device for evaluating the behaviors of a bid evaluation expert in a remote bid evaluation video conference process, which are used for solving the technical problem that a remote bid evaluation mode in the related technology cannot accurately evaluate the bid evaluation process of the bid evaluation expert.

An embodiment of a first aspect of the present application provides a method for evaluating behaviors of a bid evaluation expert in a remote bid evaluation video conference process, where the method includes: acquiring a face video picture of a mark evaluation expert in the process of remotely evaluating a preset project through a video conference mark evaluation tool, and acquiring a screen operation picture of terminal equipment where the video conference mark evaluation tool is positioned; and evaluating the marking process of the preset project by the marking expert according to the face video picture and the screen operation picture.

An embodiment of a second aspect of the present application provides a device for evaluating behaviors of a bid evaluation expert in a remote bid evaluation video conference process, where the device includes: the first acquisition module is used for acquiring a face video picture of a mark evaluation expert in the process of remotely evaluating a preset project through a video conference mark evaluation tool and a screen operation picture of terminal equipment where the video conference mark evaluation tool is positioned; and the evaluation module is used for evaluating the evaluation process of the preset item by the evaluation expert according to the face video picture and the screen operation picture.

An embodiment of a third aspect of the present application provides an electronic device, including: the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to execute the method for evaluating the behavior of the comment expert in the process of remotely evaluating the comment video conference according to the embodiment of the first aspect.

An embodiment of a fourth aspect of the present application proposes a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements a method for evaluating the behavior of a comment expert in a remote comment videoconference according to the embodiment of the first aspect of the present application.

An embodiment of a fifth aspect of the present application proposes a computer program product, which comprises a computer program, which when executed by a processor implements a method for evaluating the behavior of a comment expert in a remote comment videoconference according to the embodiment of the first aspect of the present application.

The technical scheme provided by the application has the following beneficial effects:

the face video picture of the mark evaluation expert in the process of remotely evaluating the preset project through the video conference mark evaluation tool and the screen operation picture of the terminal equipment where the video conference mark evaluation tool is located are obtained, the mark evaluation process of the mark evaluation expert on the preset project is evaluated according to the face video picture and the screen operation picture, the omnibearing integrated monitoring of the face video picture of the mark evaluation expert and the screen operation picture of the terminal equipment where the video conference mark evaluation tool is located is realized, and the evaluation accuracy of the mark evaluation process of the mark evaluation expert is improved.

Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.

Drawings

The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:

fig. 1 is a schematic structural diagram of an intelligent remote comment supervision system according to an embodiment of the present disclosure;

FIG. 2 is another schematic structural diagram of the intelligent remote comment supervision system according to the embodiment of the present disclosure;

FIG. 3 is a schematic diagram of interaction of project manager, bid evaluation expert, supervision platform and bid prisoner according to the embodiment of the present application;

fig. 4 is a flow chart of a method for evaluating behaviors of a bid evaluation expert in a remote bid evaluation video conference process according to an embodiment of the present application;

fig. 5 is another flow chart of a method for evaluating behaviors of a bid evaluation expert in a remote bid evaluation video conference process according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a bid evaluation expert behavior evaluation device in a remote bid evaluation video conference process according to an embodiment of the present application;

fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application.

The evaluation expert behavior evaluation method in the remote evaluation video conference process can be applied to an intelligent remote evaluation supervision platform of an intelligent remote evaluation supervision system, and the intelligent remote evaluation supervision system of the embodiment of the application is described below with reference to the accompanying drawings.

Fig. 1 is a schematic structural diagram of an intelligent remote comment supervision system according to an embodiment of the present application.

As shown in fig. 1, the intelligent remote bid evaluation and supervision system may include a communication connection intelligent bidding platform 110 and an intelligent remote bid evaluation and supervision platform 120, wherein the intelligent bidding platform 110 includes a video conference bid evaluation tool 111.

Wherein, the intelligent bidding platform 110 is used for processing bidding purchasing business; the video conference evaluation tool 111 is used for enabling an evaluation expert to enter a virtual conference room through the video conference evaluation tool 111 and remotely evaluating preset items in the virtual conference room; the intelligent remote bid evaluation and supervision platform 120, hereinafter referred to as the supervision platform 120, is configured to intelligently supervise the bid evaluation process of the preset project by the bid evaluation expert. The items are preset, and the items which are being evaluated by the index and evaluation expert can be set arbitrarily according to the needs. The bid evaluation expert can be any bid evaluation expert participating in bid evaluation work of a preset project.

Specifically, the supervision platform 120 can be deployed on an enterprise cloud, integrate cloud desktop resource equipment of the enterprise, develop software and hardware support platforms based on a computer vision analysis technology, a remote video conference technology and a remote video monitoring technology as an evaluation visual supervision center, and have the functions of inquiring real-time videos, historical videos, intelligent early warning and the like.

The supervision platform 120 may include a base service layer, a platform service layer, and an application service layer from bottom to top. The basic service layer may include an enterprise cloud, a cloud desktop, a video monitoring module, and the like, and is configured to provide basic services required by the operation of the supervisory platform 120. The platform service layer may include an audio and video communication service module, a message queue service module, an embedded security service module, a search engine service module, a distributed storage service module, a distributed computing service module, a virtualized service module, a centralized computing service module, a signaling service module, and a media service module, for providing corresponding services. The application service layer may include a video monitoring management module providing video monitoring management service, a video fusion module providing video recording and fusion service, a video conference service module providing video conference service, an intelligent analysis and early warning module providing intelligent analysis and early warning of video data, and the like, and a service module providing various services.

In addition, the administration platform 120 may also provide a visual large screen, a presentation interface for a virtual meeting room, and the like.

The intelligent bidding platform 110 is configured to handle bidding purchasing traffic, i.e., all bidding purchasing traffic is performed on the intelligent bidding platform 110.

The video conference rating tool 111 may be understood as a sub-application in the smart sign platform 110. The label evaluation expert, project manager and other label evaluation work related personnel can log in the video conference label evaluation tool 111 through the intelligent invitation platform 110, and the identity verification is carried out through the intelligent invitation platform 110 during logging in, and after logging in the video conference label evaluation tool 111, the video conference label evaluation tool 111 can be independently operated.

Taking the bid evaluation expert as an example, when the bid evaluation expert logs in the video conference bid evaluation tool 111, the intelligent invitation platform 110 can realize the authentication of the bid evaluation expert through the face recognition technology. The identity verification can be performed through the video conference label evaluation tool 111 by the post label evaluation expert; the video conference rating tool 111 may prompt the expert that authentication fails and login is not allowed when authentication fails. If the current label evaluation expert does not acquire the face image, the video conference label evaluation tool 111 may prompt the label evaluation expert to acquire the face image first.

After the rating specialist logs in the video conference rating tool 111, the video conference rating tool can enter a virtual conference room and remotely evaluate the video conference in the virtual conference room, and in the process that the rating specialist evaluates the preset item, the supervision platform 120 can intelligently supervise the rating process.

The intelligent remote bid evaluation and supervision system is described in detail below.

Specifically, the video conference rating tool 111 is depth-integrated with a video conference tool and a rating tool. The bid evaluation tool is used for processing bid-bidding purchasing business, and the video conference tool is deeply integrated with the bid-bidding evaluation tool on the basis of meeting basic functions of video conference such as audio and video communication, text message communication, screen desktop sharing, file sharing and application program sharing, so that the bid-bidding evaluation tool is organically integrated with the bid-bidding purchasing business, and the business requirements of different user roles (such as bid evaluation expert and project manager) in the remote bid evaluation process are met.

When a preset project needs to be rated, a project manager can firstly create a virtual conference room for the rated video conference. Specifically, the project manager may log in the video conference evaluation tool 111, and click an enter button having a function of entering a display interface of a preset project on the display interface of the video conference evaluation tool 111 after successful login, and then the video conference evaluation tool 111 may display the project manager display interface of the preset project. It should be noted that, after the enter button is clicked by the different user roles, the video conference evaluation tool 111 displays different display interfaces of the preset item for the different user roles, for example, for the project manager, the project manager display interface of the preset item is displayed, through which the project manager can create a virtual conference room corresponding to the preset item, and for the evaluation expert, the video conference evaluation tool 111 displays the evaluation expert display interface of the preset item, through which the evaluation expert can enter the created virtual conference room corresponding to the preset item to evaluate the preset item.

When the video conference evaluation tool 111 displays the project manager display interface of the preset project, the project manager may click a conference creation button with a conference creation function on the interface to trigger a video conference creation request, and accordingly, the video conference evaluation tool 111 may send the video conference creation request to the supervision platform 120, where the video conference creation request includes conference information of the preset project. The meeting information may include item information of a preset item, such as an item name, an item identifier, a bid evaluation time, a bid evaluation place, and the like of the preset item. Alternatively, the meeting information may include project information and expert information of a preset project, where the expert information includes, for example, a name, a logo, an age, an identification card number, a mobile phone number, and any other information related to each of the bid evaluation experts that needs to participate in the bid evaluation work of the preset project.

After receiving the video conference creation request, the supervision platform 120 may create a virtual conference room according to the conference information of the preset item, generate a video conference number corresponding to the virtual conference room, and further send the video conference number to the video conference rating tool 111, so as to inform the video conference rating tool 111 that the virtual conference room has been created. After receiving the video conference number, the video conference rating tool 111 may display a prompt message that the video conference has been created to prompt the project manager that the video conference has been created. The creation of the virtual conference room and the generation of the corresponding video conference number may be performed by a module that provides a video conference creation service in an application service layer of the supervisory platform 120.

Accordingly, the video conference rating tool 111 is further configured to: sending a video conference creation request to the intelligent remote comment supervision platform 120, wherein the video conference creation request comprises conference information of preset items;

the intelligent remote comment supervision platform 120 is further configured to: after receiving the video conference creation request, creating a virtual conference room according to conference information of a preset item, generating a video conference number corresponding to the virtual conference room, and sending the video conference number to the video conference evaluation tool 111.

The video conference number is used for uniquely identifying the corresponding virtual conference room, and is automatically generated by the supervision platform 120, and the generation rule can refer to the related technology, which is not described herein again.

Because the project manager only needs to click the conference creation button, the video conference evaluation tool 111 can interact with the supervision platform 120, and a virtual conference room is automatically created through the supervision platform 120, so that the project manager can automatically create the virtual conference room for evaluating the preset project by one key.

It should be noted that, the above process is described by taking one virtual conference room as an example, and in practical application, a plurality of virtual conference rooms may be created by the above process according to need, which is not limited in this application.

After creating a virtual conference room for scoring a preset item, any scoring expert participating in the scoring work of the preset item may enter the virtual conference room through the video conference scoring tool 111 to score the preset item. Specifically, taking one of the bid evaluation experts as an example, after the bid evaluation tool 111 of the video conference used by the bid evaluation expert receives the video conference number sent by the supervision platform 120, the video conference number can be associated with a preset item, the video conference number can be stored under the preset item, after the bid evaluation expert participating in the bid evaluation work of the preset item enters the bid evaluation expert display interface of the preset item, a video conference joining button is displayed, the bid evaluation expert can click the video conference joining button, and then the video conference bid evaluation tool 111 can respond to the detection of the touch operation on the video conference joining button to acquire the video conference number associated with the preset item, and start the video conference tool, and then the video conference number is sent to the video conference tool, so that a virtual conference room corresponding to the video conference number can be entered through the video conference tool. After entering the virtual meeting room corresponding to the video meeting number, the rating expert can begin to rating the preset item.

Accordingly, the video conference rating tool 111 is further configured to: receiving the video conference number sent by the intelligent remote comment supervision platform 120; and entering a virtual meeting room according to the video meeting number.

Thus, the comment expert joins the created virtual meeting room by joining the video meeting button with one key. It should be noted that, in the above embodiment, the description is given by taking the case that the label evaluation expert enters the created virtual conference room as an example, in practical application, all the related personnel of the preset item such as the project manager, the supervisor, the label evaluation expert and the like can enter the display interface of the preset item through the video conference label evaluation tool 111, and join the virtual conference room of the preset item to perform the video conference by joining the video conference button with one key. The virtual conference room created by adding the video conference button can not be accessed to perform the label evaluation by other ways only after the video conference label evaluation tool 111 is logged in and enters the display interface of the preset item, so that the label evaluation process is safer and more secret. In addition, before the related personnel of the preset project enter the virtual meeting room, the identity of the entering personnel can be verified, so that the safety and confidentiality of the label evaluation process are further improved. In addition, before the related personnel of the preset project enter the virtual conference room, the video conference evaluation tool 111 can also remind the notice when the related personnel of the preset project participate in the video conference, and enter the virtual conference room to participate in the video conference after the related personnel of the preset project agree.

The virtual meeting room is created by the project manager based on the video conference marking tool by one key, the marking expert joins the virtual meeting room based on the video conference marking tool by one key, so that the video conference does not need to be built in advance by manpower, the account passwords of the video conference do not need to be managed independently, remote marking can be carried out on the preset project by simple operation, the remote marking efficiency is improved, and the marking process is high in safety and confidentiality.

In an exemplary embodiment, the rating specialist participating in the rating work of the preset item may be obtained by extracting the specialist library in advance. Accordingly, referring to fig. 2, the intelligent remote bid evaluation and supervision system may further include an expert extraction platform 130 communicatively connected to the intelligent recruitment platform 110 for extracting bid evaluation experts participating in the bid evaluation work of the preset project from a plurality of candidate bid evaluation experts included in the expert database. The expert database may be independent of the expert extraction platform 130, or may be configured in the expert extraction platform 130, and the expert extraction platform 130 may update expert information of a plurality of candidate evaluation experts in the expert database. The expert information of the candidate bid evaluation expert may include any information related to the bid evaluation expert, such as the specialty, the age, the political face, the province or the city of the candidate bid evaluation expert, whether the candidate bid evaluation expert is in the office, the academic, the job, and the like.

Specifically, the intelligent invitation platform 110 may include an extraction button with an expert extraction function, when an expert of a comment for participating in a comment task of a preset project needs to be extracted, a person with extraction authority may input project information and an extraction requirement of the preset project first, and click the extraction button in the intelligent invitation platform 110 to trigger an expert extraction request. Accordingly, the intelligent recruitment platform 110 may send an expert extraction request to the expert extraction platform 130, where the expert extraction request may include project information and extraction requirements of a preset project. The project information can comprise any information related to a preset project, such as project identification, bid evaluation time, bid evaluation place and the like; the extraction requirements may include requirements on the profession, age, politics appearance, province or city, whether in job, academic, job, etc. of the rating specialist to be extracted, and requirements for avoiding when no extraction of abnormal rating behavior exists, etc.

After receiving the expert extraction request, the expert extraction platform 130 may extract, from the expert library, the rating expert corresponding to the preset item and meeting the extraction requirement according to the item information and the extraction requirement of the preset item, and send the expert information of the extracted rating expert to the intelligent invitation platform 110. The expert information of the bid evaluation expert can comprise any information related to the bid evaluation expert, such as the specialty, the age, the political face, the province or the city of the bid evaluation expert, whether the bid evaluation expert is in charge, the academic, the job, and the like.

It should be noted that, in the embodiment of the present application, the bid evaluation expert entering the created virtual conference room corresponding to the preset item to evaluate the bid is the bid evaluation expert extracted by the expert extraction platform 130 according to the item information and the extraction requirement of the preset item. After receiving the expert information of the bid evaluation expert extracted by the expert extraction platform 130, the intelligent bidding platform 110 can determine which bid evaluation experts perform bid evaluation on the preset item according to the expert information of the bid evaluation expert corresponding to the extracted preset item, and then after the bid evaluation experts log in the video conference bid evaluation tool 111, the bid evaluation expert display interface of the preset item is displayed, so that the bid evaluation experts can perform bid evaluation by clicking a video conference joining button displayed on the bid evaluation expert display interface of the preset item and joining the virtual conference room corresponding to the preset item by one key.

Further, after the expert extraction, the extracted bid evaluation expert can be notified by means of short messages, telephones, instant messaging and the like. And in order for the supervision platform 120 to supervise the bid evaluation process of the bid evaluation expert extracted by the expert extraction platform 130, the intelligent recruitment platform 110 may synchronize the expert information of the bid evaluation expert extracted by the expert extraction platform 130 to the supervision platform 120. That is, the intelligent sign platform 110 is also used to synchronize expert information and project information of the bid evaluation expert to the intelligent remote bid evaluation supervision platform 120.

In an exemplary embodiment, the bid evaluation mechanism, the bid evaluation center, the bid evaluation room and the bid evaluation machine may be deployed in a manner that one bid evaluation mechanism includes at least one bid evaluation center, one bid evaluation center includes at least one bid evaluation room and one bid evaluation room includes at least one bid evaluation machine, and the supervision platform 120 may manage the bid evaluation mechanism, the bid evaluation center, the bid evaluation room and the bid evaluation machine in advance, for example, may store in advance an identifier of at least one bid evaluation center included in at least one bid evaluation mechanism, an identifier of at least one bid evaluation room included in each bid evaluation center and an identifier of at least one bid evaluation machine included in each bid evaluation room. And when the video conference rating tool 111 is installed in the terminal device of the corresponding rating machine, the video conference rating tool 111 may automatically generate a machine code and bind the machine code with the identification of the rating machine stored in the supervision platform 120. The terminal device may be any device capable of running the video conference rating tool 111, such as a computer.

For each evaluation expert entering a virtual conference room through the video conference evaluation tool 111 to remotely evaluate a preset item, the video conference evaluation tool 111 can determine the evaluation machine position of the evaluation expert, so that a first camera in a terminal device of the evaluation machine position of the evaluation expert or a second camera connected with the terminal device can acquire a face video picture of the evaluation expert in real time, and the video conference evaluation tool 111 can acquire a display interface of the terminal device in real time to acquire a screen operation picture, so that the video conference evaluation tool 111 can acquire the face video picture and the screen operation picture of the evaluation expert in the evaluation process of evaluating the preset item in real time, and further send the face video picture and the screen operation picture to the supervision platform 120. The video conference rating tool 111 may send, in real time, a face video screen and a screen operation screen of a rating expert in a rating process for rating a preset item to a video conference service module in the supervision platform 120.

In addition, for each bid evaluation expert who successfully logs in the video conference bid evaluation tool 111, the supervision platform 120 may determine the bid evaluation machine position and the bid evaluation room where the bid evaluation expert is located, further call the monitoring picture of the bid evaluation room where the bid evaluation expert is located, which is acquired by the third camera installed in the bid evaluation room where the bid evaluation tool 111 is located (i.e. the bid evaluation room where the bid evaluation machine position is located) where the bid evaluation expert is located, and acquire the monitoring picture of the bid evaluation room where the bid evaluation expert is located in real time when the bid evaluation expert enters the virtual conference room to evaluate a preset item. The video monitoring management module in the supervision platform 120 may acquire the supervision frame of the bid evaluation room where the bid evaluation expert is located in real time.

Furthermore, the supervision platform 120 may evaluate the bid evaluation process of each bid evaluation expert on the preset item according to the face video picture, the screen operation picture and the monitoring picture of the bid evaluation room where each bid evaluation expert is located. Wherein, the intelligent analysis and early warning module in the supervision platform 120 can evaluate the bid evaluation process of each bid evaluation expert on the preset project.

In an exemplary embodiment, evaluating the scoring process of each scoring expert may include identifying whether each scoring expert has at least one of the following abnormal behaviors in the evaluation process: the evaluation expert views other display interfaces irrelevant to the evaluation project through the terminal equipment, the evaluation expert uses the communication equipment, the evaluation expert is not the expert himself or herself, or other people intrude in the evaluation room where the evaluation expert is located, and early warning information can be output when the evaluation expert is identified to have at least one abnormal behavior. The early warning information may include project information of a current preset project, expert information of a comment expert with abnormal behaviors, early warning content (such as not the expert himself, off duty or someone else intrudes), early warning time, early warning evidence photographing (screenshot of a face video picture, a screen operation picture or a monitoring picture), and the like.

Specifically, for each bid evaluation expert, during the bid evaluation process of the bid evaluation expert on the preset item, the supervision platform 120 may identify whether at least one of the following abnormal behaviors exists in the bid evaluation process according to the face video picture of the bid evaluation expert or the face video picture in combination with the monitoring picture of the bid evaluation room where the bid evaluation expert is located: the evaluation expert is not the expert himself or the evaluation expert leaves the post or the evaluation room where the evaluation expert is located is broken into by others; according to the screen operation picture of the terminal equipment where the video conference comment tool 111 is located, identifying whether a comment expert watches other display interfaces irrelevant to a comment item through the terminal equipment; and detecting whether the evaluation expert uses communication equipment such as a mobile phone or not by adopting a communication equipment detection technology according to the face video picture of the evaluation expert or the face video picture combined with the monitoring picture of the evaluation room where the evaluation expert is located. The mark evaluation expert leaves the post, which means that the mark evaluation expert does not evaluate the mark on the mark evaluation machine.

That is, in the exemplary embodiment, supervisory platform 120 is specifically configured to: acquiring a face video picture of a comment expert, a screen operation picture of terminal equipment where a video conference comment tool is located, and a monitoring picture of a comment room where the comment expert is located; the face video picture, the screen operation picture and the monitoring picture are collected in real time in the process of evaluating the preset project by the evaluation expert; and evaluating the bid evaluation process of the bid evaluation expert on the preset project according to the face video picture, the screen operation picture and the monitoring picture. In an exemplary embodiment, the supervisory platform 120 is specifically configured to: in the process of evaluating the preset item by the evaluation expert, identifying abnormal behaviors of the evaluation expert in the process of evaluating the preset item according to the face video picture, wherein the abnormal behaviors comprise at least one of the following behaviors: the bid evaluation expert is not the expert himself or the bid evaluation expert leaves the post or the bid evaluation room where the bid evaluation expert is located is intruded by others.

Further, after the supervision platform 120 obtains the face video image of each bid evaluation expert, the screen operation image of the terminal device where the video conference bid evaluation tool 111 is located, and the monitoring image of the bid evaluation room where each bid evaluation expert is located, the three images can be recorded in real time, so as to obtain face video data, screen operation video data and monitoring video data. In addition, in the process of evaluating the preset item by each evaluation expert, the supervision platform 120 can determine which evaluation expert is evaluating which item by which evaluation room, so that the face video data, the screen operation video data and the monitoring video data can be associated with and stored in the evaluation expert and the preset item currently being evaluated, thereby meeting the requirements of archiving and evaluating the data in the evaluation process. Furthermore, when the face video data, the screen operation video data and the monitoring video data of a certain bid evaluation expert need to be displayed or checked, the face video data, the screen operation video data and the monitoring video data associated with the bid evaluation expert can be fused to obtain the fused target audio/video data, and the fused target audio/video data is displayed or checked through a display interface (namely, the face video data, the screen operation video data and the monitoring video data of the bid evaluation expert are displayed on the same display interface). When the face video data, the screen operation video data and the monitoring video data of each evaluation expert of the evaluation preset item need to be displayed or checked, the face video data, the screen operation video data and the monitoring video data of each evaluation expert related to the preset item can be fused to obtain the fused target audio and video data, and the fused target audio and video data is displayed or checked through a display interface (namely, the face video data, the screen operation video data and the monitoring video data of each evaluation expert are displayed on one display interface at the same time). Therefore, independent recording of three paths of video data of each bid evaluation expert, fusion display or viewing of three paths of video data of each bid evaluation expert and fusion display or viewing of multiple paths of video data of each bid evaluation expert of a preset item can be realized.

Recording of the face video image and the screen operation image can be achieved by the video conference service module of the supervision platform 120, recording of the monitoring image is achieved by the video monitoring management module of the supervision platform 120, the face video data and the screen operation video data are obtained from the video conference service module by the video fusion module of the supervision platform 120, the monitoring video data are obtained from the video monitoring management module, and fusion of the face video data, the screen operation video data and the monitoring video data is achieved.

The display of the target audio and video data can be performed in real time in the evaluation process, or can be performed as historical video data after the evaluation is finished, and the application is not limited to this.

In the process of evaluating the label, for example, when the monitoring pictures of the label evaluation rooms in different scattered places are required to be displayed, the monitoring pictures of the label evaluation rooms can be accessed into the video conference in an interface configuration mode, so that the scene monitoring requirement of the label evaluation rooms is met.

Therefore, in the process of remotely evaluating the preset project by the evaluation expert, the supervision platform 120 can realize the omnibearing integrated monitoring of the face video picture of the evaluation expert, the screen operation picture of the terminal equipment where the video conference evaluation tool 111 is located and the monitoring picture of the evaluation room where the evaluation expert is located, and can perform real-time intelligent analysis on the pictures, and when the evaluation expert is found to have abnormal behaviors, intelligent early warning reminding is performed, so that the evaluation process is intelligently supervised, the abnormal behaviors are timely found and stopped in advance, and in addition, three paths of video data of each evaluation expert can be monitored and consulted simultaneously according to the dimension of the evaluation expert or the dimension of the project, so that the whole evaluation process is controllable, can be checked, can be traced, and the evaluation work and compliance are ensured.

In an exemplary embodiment, the supervision platform 120 may provide a visual large-screen display and a display interface of the virtual conference room in addition to the functions of inquiring real-time video data, historical video data and intelligent early warning, so as to facilitate the relevant personnel to monitor and check the bid evaluation process of the bid evaluation expert.

In addition, referring to fig. 2, the supervisory platform 120 may also be integrally docked with a third party supervisory platform 140. The third party supervision platform refers to a platform for supervising the third party service, for example, the third party supervision platform may be a purchase supervision platform for supervising purchase transactions. The supervision platform 120 may receive the third party early warning information sent by the third party supervision platform 140, so as to centrally display and manage the third party early warning information. The third party early warning information sent by the purchase supervision platform can include early warning information of abnormal conditions of third party businesses such as unpaid bid deposit, association, abnormal operation, illegal credit loss, behavior punishment, behavior brining criminal behaviors, excessively high similarity of bidding documents and the like.

It should be noted that, in this embodiment of the present application, the supervisory platform 120 implements access to devices such as cameras of different manufacturers, NVR (Network Video Recorder ), DVR (Digital Video Recorder, digital video recorder) and the like through a system abstraction interface customized in a unified manner, and implements functions of obtaining real-time streaming and video recording of a supervisory device, and performing parameter setting and remote control on the device through network protocol modes such as SDK (Software Development Kit ), RTMP (Real Time Messaging Protocol, real-time message transmission protocol), ONVIF (open network video interface forum), GB28181 (national standard protocol), RTSP (Real Time Streaming Protocol, real-time streaming protocol) and the like.

Referring now to fig. 3, a method for evaluating the bid based on the intelligent remote bidding system will be described by taking an interaction process among a project manager, a bid evaluation expert, a supervision platform and a bid prison as an example. Fig. 3 is an interaction schematic diagram of a project manager, a bid evaluation expert, a supervision platform and a bid monitoring person provided in the embodiment of the present application. The label monitoring person may be, for example, a project manager, a discipline checking unit, a consultation person, or the like who monitors the label evaluation process.

Referring to fig. 3, after logging into the video conference rating tool 111 (step 301) and entering the project manager display interface of the preset project, the project manager may create a virtual conference room with one key (step 302). When the current bid evaluation expert logs in the video conference bid evaluation tool 111 (step 303), the video conference bid evaluation tool 111 may first determine whether the face image of the current bid evaluation expert is collected in advance (step 304), and if the face image of the current bid evaluation expert is not collected, the current bid evaluation expert may be prompted to collect the advanced face image, and collect the face image of the current bid evaluation expert (step 305). If the face image of the current rating expert is collected, the current rating expert may face the face (step 306), and further determine whether the current rating expert is the expert (step 307). Specifically, the current face image of the current label evaluation expert can be collected, the current face image is compared with the face image of the current label evaluation expert collected in advance, if the current face image is inconsistent with the face image of the current label evaluation expert, it can be determined that the current label evaluation expert is not the expert, and the current expert is not allowed to log in the video conference label evaluation tool. If the current face image is consistent with the face image of the current bid evaluation expert acquired in advance, the current bid evaluation expert may be determined to be the expert, thereby allowing the current bid evaluation expert to log in the video conference bid evaluation tool 111, i.e., the current bid evaluation expert may successfully log in the video conference bid evaluation tool 111 (step 308). After the current bid evaluation expert successfully logs in the video conference bid evaluation tool 111 and enters the bid evaluation expert display interface of the preset project, the virtual conference room created by the project manager can be added by one key (step 309), the preset project is evaluated (step 310), and after the evaluation is finished, the video conference bid evaluation tool can be exited (step 311).

After the current bid evaluation expert logs in the video conference bid evaluation tool 111, the supervision platform 120 may determine a bid evaluation machine position and a bid evaluation room where the current bid evaluation expert is located, and call a monitoring picture of the bid evaluation room, which is collected by a third camera installed in the bid evaluation room where the current bid evaluation expert is located. In addition, after the current bid evaluation expert enters the virtual conference room, the video conference bid evaluation tool 111 may send, to the supervision platform 120, a face video image of the current bid evaluation expert collected in real time by a first camera or a second camera connected to the terminal device in a terminal device of a bid evaluation machine position where the bid evaluation expert is located, and a screen operation image obtained by the video conference bid evaluation tool 111 collecting a display interface of the terminal device in real time. Therefore, the supervision platform 120 can acquire the monitoring picture of the bid evaluation room where the current bid evaluation expert is located (step 312), and acquire the face video picture and the screen operation picture of the current bid evaluation expert (step 313), and further record and fuse the three pictures respectively (step 314) to obtain the target audio/video data.

In addition, during the process of the current label evaluation expert evaluating the preset item, the supervision platform 120 may perform intelligent analysis on the face video image of the current label evaluation expert (step 315), so as to determine whether the current label evaluation expert is abnormal such as that there is a non-expert himself, leaving the post, that there is someone else running into the label evaluation room (step 316), if there is no, then the intelligent analysis on the face video image of the current label evaluation expert is continued, and if there is abnormal behavior of the current label evaluation expert, early warning information may be pushed, so as to perform early warning on the label supervision personnel through the supervision platform.

After the prison staff receives the early warning of the supervision platform 120, the early warning can be processed in time (step 317), and when the early warning is processed, the prison staff can check the target audio and video data recorded and fused by the supervision platform (step 318) so as to find the evidence of abnormal behaviors of the current expert for evaluating the label.

In summary, the intelligent remote bid evaluation and supervision system can conveniently enter a virtual conference room through a video conference bid evaluation tool, remotely evaluate preset items in the virtual conference room, and intelligently supervise the bid evaluation process of the preset items by the bid evaluation expert by using a supervision platform. The monitoring platform in the intelligent remote bid evaluation monitoring system can realize the omnibearing integrated monitoring of the face video picture of the bid evaluation expert, the screen operation picture of the terminal equipment where the video conference bid evaluation tool is located and the monitoring picture of the bid evaluation room where the bid evaluation expert is located, and can carry out real-time intelligent analysis on the pictures, and when the abnormal behavior of the bid evaluation expert is found, intelligent early warning and reminding are carried out, so that the bid evaluation process is intelligently monitored, the abnormal behavior is timely found and stopped in advance, and in addition, three paths of video data of each bid evaluation expert can be monitored and consulted simultaneously according to the dimension or the item dimension of the bid evaluation expert, so that the whole bid evaluation process is controllable, can be checked and traced, and the legal and compliance of bid evaluation work is ensured.

Based on the intelligent remote bid evaluation supervision system, the application provides a bid evaluation expert behavior evaluation method, device, electronic equipment and storage medium in a remote bid evaluation video conference process. The following describes a method, a device, an electronic device and a storage medium for evaluating the behavior of a comment expert in a remote comment video conference process according to an embodiment of the application with reference to the accompanying drawings.

Fig. 4 is a flowchart of a method for evaluating behaviors of a bid evaluation expert in a remote bid evaluation video conference process according to an embodiment of the present application.

It should be noted that, the evaluation method for the behaviors of the bid evaluation experts in the remote bid evaluation video conference process provided by the embodiment of the application can be executed by an evaluation device for the behaviors of the bid evaluation experts in the remote bid evaluation video conference process, hereinafter referred to as an evaluation device, and the evaluation device can be configured in an intelligent remote bid evaluation supervision platform so as to realize the omnibearing integrated monitoring of the face video picture of the bid evaluation experts and the screen operation picture of the terminal equipment where the video conference bid evaluation tool is located and improve the evaluation accuracy of the bid evaluation process of the bid evaluation experts.

As shown in fig. 4, the method for evaluating the behavior of the comment expert in the remote comment video conference process may include the following steps:

Step 401, obtaining a face video picture of a comment expert in a process of remotely comment on a preset item through a video conference comment tool and a screen operation picture of a terminal device where the video conference comment tool is located.

The method comprises the steps of presetting items, and indicating the items currently being evaluated by an evaluation expert.

The face video picture is acquired in real time in the process of evaluating the mark by a first camera installed in the terminal equipment or a second camera connected with the terminal equipment.

The screen operation picture is obtained by acquiring a display interface of the terminal equipment in real time in the bid evaluation process of the video conference bid evaluation tool.

In an exemplary embodiment, in a process that a bid evaluation expert remotely evaluates a preset item through a video conference bid evaluation tool, the video conference bid evaluation tool can determine a bid evaluation machine position where the bid evaluation expert is located, so that a first camera in a terminal device of the bid evaluation machine position where the bid evaluation expert is located or a second camera connected with the terminal device can acquire a face video picture of the bid evaluation expert in real time, and the video conference bid evaluation tool can acquire a display interface of the terminal device in real time to acquire a screen operation picture. After the video conference label evaluation tool obtains the face video picture and the screen operation picture of the label evaluation expert, the face video picture and the screen operation picture can be sent to the evaluation device in real time, and correspondingly, the evaluation device can obtain the face video picture of the label evaluation expert in the process of remotely evaluating the preset item through the video conference label evaluation tool and the screen operation picture of the terminal equipment where the video conference label evaluation tool is located.

Step 402, evaluating the bid evaluation process of the preset project by the bid evaluation expert according to the face video picture and the screen operation picture.

In an exemplary embodiment, after the evaluation device obtains the face video frame and the screen operation frame, the face video frame and the screen operation frame can be intelligently analyzed to evaluate the bid evaluation process of the bid evaluation expert on the preset item. The evaluation of the evaluation process of the preset item by the evaluation expert can specifically include: identifying whether or not the rating specialist has at least one of the following abnormal behaviors in the evaluation process: the bid evaluation expert views other display interfaces irrelevant to the bid evaluation project through the terminal equipment, the bid evaluation expert uses the communication equipment, the bid evaluation expert is not the expert himself, the bid evaluation expert leaves the post or other people break into the bid evaluation room where the bid evaluation expert is located.

In an exemplary embodiment, the evaluation means may recognize whether or not the rating specialist has at least one of the following abnormal behaviors in the rating process from the face video picture of the rating specialist: the evaluation expert is not the expert himself or the evaluation expert leaves the post or the evaluation room where the evaluation expert is located is broken into by others; according to the screen operation picture of the terminal equipment where the video conference evaluation tool is located, identifying whether an evaluation expert views other display interfaces irrelevant to the evaluation items through the terminal equipment; and detecting whether the label evaluation expert uses communication equipment such as a mobile phone or not by adopting a communication equipment detection technology according to the face video picture of the label evaluation expert. The mark evaluation expert leaves the post, which means that the mark evaluation expert does not evaluate the mark on the mark evaluation machine.

In addition, after the evaluation of the evaluation process of each evaluation expert, when the evaluation expert is determined to have the at least one abnormal behavior, early warning information can be output so as to prompt the project manager or other prisoner that the evaluation expert has the abnormal behavior in the evaluation process.

The early warning information may include information such as item information of a currently preset item, expert information of a mark-evaluating expert with abnormal behaviors, early warning content (such as not the expert himself, off duty, someone else intrudes, the mark-evaluating expert views other display interfaces irrelevant to the mark-evaluating item through a terminal device, the mark-evaluating expert uses a communication device, etc.), early warning time, early warning evidence photographing (screenshot of a face video picture and a screen operation picture), etc.

In summary, according to the evaluation method for the evaluation expert behavior in the remote evaluation video conference process, the face video picture of the evaluation expert in the process of remotely evaluating the preset project through the video conference evaluation tool and the screen operation picture of the terminal device where the video conference evaluation tool is located are obtained, the evaluation process of the evaluation expert on the preset project is evaluated according to the face video picture and the screen operation picture, the comprehensive integrated monitoring of the face video picture of the evaluation expert and the screen operation picture of the terminal device where the video conference evaluation tool is located is realized, and the evaluation accuracy of the evaluation process of the evaluation expert is improved.

The method for evaluating the behavior of the comment expert in the remote comment video conference process provided by the application is further described below with reference to fig. 5.

Fig. 5 is another flow chart of a method for evaluating behaviors of a bid evaluation expert in a remote bid evaluation video conference process according to an embodiment of the present application.

As shown in fig. 5, the method for evaluating the behavior of the comment expert in the remote comment video conference process may include the following steps:

step 501, obtaining a face video picture of a comment expert in a process of remotely comment on a preset item through a video conference comment tool, and obtaining a screen operation picture of a terminal device where the video conference comment tool is located.

The specific implementation process and principle of step 501 may refer to the description of the foregoing embodiments, which is not repeated herein.

Step 502, obtaining a monitoring picture of a bid evaluation room where a bid evaluation expert is located.

The monitoring picture is collected in real time in the process of evaluating the mark by a third camera installed in the mark evaluation room.

In an exemplary embodiment, in the process that a bid evaluation expert performs remote bid evaluation on a preset item through a video conference bid evaluation tool, an evaluation device can determine a bid evaluation machine position and a bid evaluation room where the bid evaluation expert is located, and further call a monitoring picture of the bid evaluation room where the bid evaluation expert is located, which is acquired by a third camera installed in the bid evaluation room where the bid evaluation expert is located.

Step 503, evaluating the bid evaluation process of the bid evaluation expert on the preset project according to the face video picture, the screen operation picture and the monitoring picture.

In an exemplary embodiment, after the evaluation device obtains the face video frame, the screen operation frame and the monitoring frame, the evaluation device may perform intelligent analysis on the face video frame, the screen operation frame and the monitoring frame, so as to evaluate the evaluation process of the preset item by the evaluation expert. The evaluation of the evaluation process of the preset item by the evaluation expert can specifically include: identifying whether or not the rating specialist has at least one of the following abnormal behaviors in the evaluation process: the bid evaluation expert views other display interfaces irrelevant to the bid evaluation project through the terminal equipment, the bid evaluation expert uses the communication equipment, the bid evaluation expert is not the expert himself, the bid evaluation expert leaves the post or other people break into the bid evaluation room where the bid evaluation expert is located.

In an exemplary embodiment, the evaluation device may identify whether or not the rating specialist has at least one of the following abnormal behaviors in the rating process, based on the face video picture of the rating specialist, or the face video picture and the monitoring picture: the evaluation expert is not the expert himself or the evaluation expert leaves the post or the evaluation room where the evaluation expert is located is broken into by others; according to the screen operation picture of the terminal equipment where the video conference evaluation tool is located, identifying whether an evaluation expert views other display interfaces irrelevant to the evaluation items through the terminal equipment; and detecting whether the label evaluation expert uses communication equipment such as a mobile phone or not by adopting a communication equipment detection technology according to the face video picture of the label evaluation expert or the face video picture and the monitoring picture. The mark evaluation expert leaves the post, which means that the mark evaluation expert does not evaluate the mark on the mark evaluation machine.

By comprehensively identifying whether the evaluation expert is not the expert himself in the evaluation process by combining the face video picture and the monitoring picture, the evaluation expert leaves the post, and the evaluation room where the evaluation expert is located has abnormal behaviors of others intruding into or using the communication equipment, the accuracy of the abnormal behavior identification can be improved.

In summary, according to the method for evaluating the behaviors of the bid evaluation expert in the remote bid evaluation video conference process, the face video picture of the bid evaluation expert in the process of remotely evaluating the preset project through the video conference bid evaluation tool and the screen operation picture of the terminal equipment where the video conference bid evaluation tool is located are obtained, the monitoring picture of the bid evaluation room where the bid evaluation expert is located is obtained, the bid evaluation process of the preset project by the bid evaluation expert is evaluated according to the face video picture, the screen operation picture and the monitoring picture, the face video picture of the bid evaluation expert, the screen operation picture of the terminal equipment where the video conference bid evaluation tool is located and the monitoring picture of the bid evaluation room where the bid evaluation expert is located are all-in-one-dimensional monitoring, and the evaluation accuracy of the bid evaluation process of the bid evaluation expert is improved.

The present application also provides a device for evaluating the behavior of a comment expert in a remote comment video conference, which corresponds to the method for evaluating the behavior of a comment expert in a remote comment video conference provided by the embodiment of fig. 4 or fig. 5, because the device for evaluating the behavior of a comment expert in a remote comment video conference provided by the embodiment of the present application corresponds to the method for evaluating the behavior of a comment expert in a remote comment video conference provided by the embodiment of fig. 4 or fig. 5, the implementation of the method for evaluating the behavior of a comment expert in a remote comment video conference is also applicable to the device for evaluating the behavior of a comment expert in a remote comment video conference provided by the embodiment of the present application, and is not described in detail in the embodiment of the present application.

Fig. 6 is a schematic structural diagram of a comment expert behavior evaluation device in a remote comment videoconference process according to an embodiment of the present application.

As shown in fig. 6, the remote bid evaluation expert behavior evaluation device 600 in the bid evaluation video conference process may include: a first acquisition module 610 and an evaluation module 620.

The first obtaining module 610 is configured to obtain a face video picture of a label evaluation expert in a process of remotely evaluating a preset item through a video conference label evaluation tool and a screen operation picture of a terminal device where the video conference label evaluation tool is located;

and the evaluation module 620 is configured to evaluate the bid evaluation process of the preset item by the bid evaluation expert according to the face video picture and the screen operation picture.

As a possible implementation manner of the embodiment of the present application, the evaluation device 600 for evaluating the behavior of the comment expert in the remote comment videoconference process further includes:

the second acquisition module is used for acquiring a monitoring picture of a bid evaluation room where a bid evaluation expert is located;

the evaluation module 620 is specifically configured to:

and evaluating the bid evaluation process of the bid evaluation expert on the preset project according to the face video picture, the screen operation picture and the monitoring picture.

As a possible implementation manner of the embodiment of the present application, the evaluation module 620 is specifically configured to:

Identifying whether an abnormal behavior exists in the evaluation process by the bid evaluation expert, wherein the abnormal behavior comprises at least one of the following behaviors: the bid evaluation expert views other display interfaces irrelevant to the bid evaluation project through the terminal equipment, the bid evaluation expert uses the communication equipment, the bid evaluation expert is not the expert himself, the bid evaluation expert leaves the post or other people break into the bid evaluation room where the bid evaluation expert is located.

and the early warning module is used for outputting early warning information when the evaluation expert has abnormal behaviors in the evaluation process.

As a possible implementation manner of the embodiment of the present application, the face video frame is collected in real time during the process of evaluating the mark by a first camera installed in the terminal device or a second camera connected with the terminal device.

As a possible implementation manner of the embodiment of the application, the screen operation picture is obtained by collecting the display interface of the terminal device in real time in the process of evaluating the video conference.

As a possible implementation manner of the embodiment of the present application, the monitoring image is collected in real time during the evaluation process of the label by the third camera installed in the label evaluation room.

According to the remote bid evaluation video conference process bid evaluation expert behavior evaluation device, the face video picture of the bid evaluation expert in the process of remotely evaluating the preset project through the video conference bid evaluation tool and the screen operation picture of the terminal equipment where the video conference bid evaluation tool is located are obtained, the bid evaluation process of the bid evaluation expert on the preset project is evaluated according to the face video picture and the screen operation picture, the comprehensive integrated monitoring of the face video picture of the bid evaluation expert and the screen operation picture of the terminal equipment where the video conference bid evaluation tool is located is achieved, and the evaluation accuracy of the bid evaluation process of the bid evaluation expert is improved.

In order to implement the above embodiment, the present application further proposes an electronic device, which may include: the system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to execute the evaluation method of the evaluation expert behavior in the remote evaluation video conference process according to the embodiment of the first aspect of the embodiment of the application.

It should be noted that the explanation of the foregoing embodiment of the evaluation method for evaluating the behavior of the comment expert in the remote comment videoconference provided in the embodiment of the first aspect is also applicable to the electronic device of this embodiment, and will not be repeated here.

According to the electronic equipment provided by the embodiment of the invention, the face video picture of the mark evaluation expert in the process of remotely evaluating the preset item through the video conference mark evaluation tool and the screen operation picture of the terminal equipment where the video conference mark evaluation tool is located are obtained, the mark evaluation process of the mark evaluation expert on the preset item is evaluated according to the face video picture and the screen operation picture, the omnibearing integrated monitoring of the face video picture of the mark evaluation expert and the screen operation picture of the terminal equipment where the video conference mark evaluation tool is located is realized, and the evaluation accuracy of the mark evaluation process of the mark evaluation expert is improved.

In order to achieve the above embodiments, the present application further proposes a computer readable storage medium having stored thereon a computer program, which is characterized in that the program, when executed by a processor, implements a method for evaluating the behavior of a comment expert in a remote comment videoconference according to the foregoing first aspect of the present application.

In order to achieve the above embodiments, the present application further provides a computer program product, which includes a computer program, where the computer program when executed by a processor implements a method for evaluating behavior of a comment expert in a remote comment videoconference set forth in the above embodiment of the first aspect of the present application.

As shown in fig. 7, the electronic device may include:

memory 701, processor 702, and computer programs stored on memory 701 and executable on processor 702.

The processor 702, when executing the program, implements the method of rating expert behavior assessment in a remote rating video conference as provided in any of the embodiments shown in fig. 4 or 5.

Further, the electronic device may further include:

a communication interface 703 for communication between the memory 701 and the processor 702.

Memory 701 for storing a computer program executable on processor 702.

The memory 701 may include a high-speed RAM memory or may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory.

And the processor 702 is used for implementing the evaluation method of the bid evaluation expert behavior in the remote bid evaluation video conference process according to any one of the embodiments shown in fig. 4 or 5 when executing the program.

If the memory 701, the processor 702, and the communication interface 703 are implemented independently, the communication interface 703, the memory 701, and the processor 702 may be connected to each other through a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (Peripheral Component, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 7, but not only one bus or one type of bus.

Alternatively, in a specific implementation, if the memory 701, the processor 702, and the communication interface 703 are integrated on a chip, the memory 701, the processor 702, and the communication interface 703 may communicate with each other through internal interfaces.

The processor 702 may be a central processing unit (Central Processing Unit, abbreviated as CPU) or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC) or one or more integrated circuits configured to implement embodiments of the present invention.

In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.

Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "plurality" is at least two, such as two, three, etc., unless explicitly defined otherwise.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.

Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.

It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.

Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.

The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.

Claims

1. A method for evaluating the behavior of a bid evaluation expert in a remote bid evaluation video conference process is characterized in that an intelligent remote bid evaluation supervision system applied by the method comprises an intelligent bid platform and an intelligent remote bid evaluation supervision platform which are in communication connection, wherein the intelligent bid platform is used for processing bid purchase service and comprises a video conference bid evaluation tool, a project manager sends a video conference creation request to the intelligent remote bid evaluation supervision platform through a conference creation button in the video conference bid evaluation tool, the video conference creation request comprises conference information of a preset project, the intelligent remote bid evaluation supervision platform creates a virtual conference room and generates a video conference number corresponding to the virtual conference room according to the conference information of the preset project after receiving the video conference creation request, the video conference number is sent to the video conference bid evaluation tool, a project manager, a supervisor and bid evaluation experts all enter a display interface of a preset project through the video conference bid evaluation tool and are added to a virtual conference room of the preset project through adding a video conference button, the bid evaluation experts participating in bid evaluation are extracted from an expert library through an expert extraction platform, the extracted requirements comprise that the experts with abnormal bid evaluation behaviors are not extracted, the expert extraction platform is in communication connection with the intelligent bidding platform, the expert library is independent of the expert extraction platform, the expert extraction platform is also used for updating expert information of a plurality of candidate bid evaluation experts in the expert library, and the intelligent bidding platform is also used for synchronizing expert information and project information of the bid evaluation experts to the intelligent remote bid evaluation supervision platform;

The method comprises the following steps:

acquiring a face video picture of a mark evaluation expert in a process of remotely evaluating a preset project through a video conference mark evaluation tool and a screen operation picture of terminal equipment where the video conference mark evaluation tool is located, and acquiring a monitoring picture of a mark evaluation room where the mark evaluation expert is located in real time in the mark evaluation process through a third camera installed in the mark evaluation room, wherein the face video picture is acquired in real time by a first camera installed in the terminal equipment in the mark evaluation process;

and identifying whether the evaluation expert has abnormal behaviors in the evaluation process according to the face video picture, the screen operation picture and the monitoring picture, and outputting early warning information when the evaluation expert has abnormal behaviors in the evaluation process, wherein the abnormal behaviors comprise that the evaluation expert uses communication equipment, the evaluation expert is not an expert and the evaluation expert leaves the post, and the early warning information comprises item information of a current preset item, expert information of the evaluation expert with abnormal behaviors, early warning content, early warning time and screenshot evidence.

2. The method of claim 1, wherein the abnormal behavior further comprises: and the rating expert views other display interfaces irrelevant to the rating item through the terminal equipment and the rating room where the rating expert is located is broken into by others.

3. The method according to claim 1, wherein the screen operation picture is obtained by the video conference rating tool collecting a display interface of the terminal device in real time in the rating process.

4. The intelligent remote bid evaluation supervision system applied by the device comprises an intelligent bid evaluation platform and an intelligent remote bid evaluation supervision platform which are in communication connection, wherein the intelligent bid evaluation platform is used for processing bid purchase services and comprises a video conference bid evaluation tool, a project manager sends a video conference creation request to the intelligent remote bid evaluation supervision platform through a conference creation button in the video conference bid evaluation tool, the video conference creation request comprises conference information of preset projects, the intelligent remote bid evaluation supervision platform, after receiving the video conference creation request, creates a virtual conference room according to conference information of the preset projects and generates video conference numbers corresponding to the virtual conference room, and sends the video conference numbers to the video conference bid evaluation tool, project managers, supervisors and bid evaluation experts enter a display interface of the preset projects through the video conference bid evaluation tool, and join the virtual conference room of the preset projects through a key, the participation bid evaluation is extracted from the expert, and the expert is extracted from the expert has no information of the expert, and is extracted from the expert's information of the expert, and the expert is extracted from the expert's information of the expert's candidate platform, and the expert is extracted from the expert's information of the expert's information, and the expert's is extracted from the expert's information is extracted from the expert's platform, and the expert's is extracted from the expert' is in the display interface of the preset;

The device comprises:

the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a face video picture of a mark evaluation expert in the process of remotely evaluating a preset project through a video conference mark evaluation tool and a screen operation picture of terminal equipment where the video conference mark evaluation tool is located, and the monitoring picture of the mark evaluation room where the mark evaluation expert is located is acquired in real time in the mark evaluation process through a third camera installed in the mark evaluation room, wherein the face video picture is acquired in real time in the mark evaluation process by a first camera installed in the terminal equipment;

the evaluation module is used for identifying whether the evaluation expert has abnormal behaviors in the evaluation process according to the face video picture, the screen operation picture and the monitoring picture, and outputting early warning information when the evaluation expert has abnormal behaviors in the evaluation process, wherein the abnormal behaviors comprise that the evaluation expert uses communication equipment, the evaluation expert is not an expert and the evaluation expert leaves the post, and the early warning information comprises item information of a current preset item, expert information of the evaluation expert with abnormal behaviors, early warning content, early warning time and screenshot evidence.

5. An electronic device, the electronic device comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to perform the method of evaluating the behavior of a comment expert in a remote comment videoconference according to any of claims 1-3.

6. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements a method of evaluating the behaviour of a comment expert in a remote comment videoconference according to any of claims 1-3.